Machine Learning Archives - Software Engineering Daily

Machine Learning Archives - Software Engineering Daily episodes:

• 01.30.2024

  Vercel AI with Lee Robinson

  Vercel provides a cloud platform to rapidly deploy web projects, and they develop the highly successful Next.js framework. The company recently made headlines when they announced v0 which is a generative AI tool to create React code from text prompts....

  
• 01.23.2024

  Algolia with Sean Mullaney

  Algolia is a platform that provides search as a service. The company was founded in 2012, was part of Y Combinator’s Winter 2014 class, and has become highly popular for integrating modern search functionality into web-facing services. Sean Mullaney is...

  
• 01.16.2024

  JetBrains AI with Jodie Burchell

  Jodie Burchell is the Data Science Developer Advocate at JetBrains, which makes integrated development environments or, IDEs, for many major languages. After observing the rapid growth of the AI coding assistant landscape, the company recently announced integration of an AI...

  
• 01.09.2024

  AWS re:Invent Special: Sagemaker with Ankur Mehrotra

  This episode of Software Engineering Daily is part of our on-site coverage of AWS re:Invent 2023, which took place from November 27th through December 1st in Las Vegas. In today’s interview, host Jordi Mon Companys speaks with Ankur Mehrotra who...

  
• 01.02.2024

  Pinecone Vector Database with Marek Galovic

  An embedding is a concept in machine learning that refers to a particular representation of text, images, audio, or other information. Embeddings are designed to make data consumable by ML models. However, storing embeddings presents a challenge to traditional databases....

  
• 12.26.2023

  Vespa.ai with Jon Bratseth

  Vespa is a fully featured search engine and vector database, and it has integrated ML model inference. The project open sourced in 2017, and since then has grown to become a prominent platform for applying AI to big data sets...

  
• 12.19.2023

  GitHub Copilot with Joseph Katsioloudes

  GitHub Copilot is an AI tool developed by GitHub and OpenAI to assist software developers by autocompleting code. Copilot kicked off a revolution in software engineering, and AI assistants are now considered essential tools to many developers. Joseph Katsioloudes is...

  
• 12.12.2023

  Weights & Biases with Chris Van Pelt

  Machine learning model research requires running expensive, long-running experiments where even a slight mis-calibration can cost millions of dollars in underutilized compute resources. Once trained, model deployment, production monitoring, and observability requirements all present unique operational challenges. Chris Van Pelt...

  
• 12.05.2023

  Hugging Face with Sayak Paul

  Hugging Face was founded in 2016 and has grown to become one of the most prominent ML platforms. It’s commonly used to develop and disseminate state-of-the-art ML models and is a central hub for researchers and developers. Sayak Paul is...

  
• 11.23.2023

  Daytona with Ivan Burazin

  Cloud-based software development platforms such as GitHub Codespaces continue to grow in popularity. These platforms are attractive to enterprise organizations because they can be managed centrally with security controls. However, many, if not most, developers prefer a local IDE. Daytona...

  
• 11.22.2023

  GraphAware with Luanne Misquitta

  Knowledge graphs are an intuitive way to define relationships between objects, events, situations, and concepts. Their ability to encode this information makes them an attractive database paradigm. Hume is a graph-based analysis solution developed by GraphAware. It represents data as...

  
• 11.02.2023

  Speechlab and Realtime Translation with Ivan Galea

  Speech technology has been around for a long time, but in the last 12 months it’s undergone a quantum leap. New speech synthesis models are able to produce speech that’s often indistinguishable from real speech. I’m sure many listeners have...

  
• 11.01.2023

  Sourcegraph with Quinn Slack

  If you’re a developer, there’s a good chance you’ve experimented with coding assistants like GitHub Copilot. Many developers have even fully integrated these tools into their workflows. One way these tools accelerate development is by autocompleting entire blocks of code....

  
• 10.03.2023

  Stack Overflow in the AI era with Ellen Brandenberger

  When StackOverflow launched in 2008 it lowered the barrier to writing complex software. It solved the longstanding problem of accessing accurate and reliable programming knowledge by offering a collaborative space where programmers could ask questions, share insights, and receive high-quality...

  
• 08.15.2023

  AI for Software Delivery with Birgitta Böckeler

  AI-assisted software delivery refers to the utilization of artificial intelligence to assist, enhance, or automate various phases of the software development lifecycle. AI can be used in numerous aspects of software development, from requirements gathering to code generation to testing...

  
• 07.27.2023

  Ethical GPTs with Amruta Moktali

  Generative pre-trained transformer models, or GPT models, have countless applications and are being rapidly deployed across a wide range of domains. However, using GPT models without appropriate safeguards can lead to leakage of sensitive data. This concern underscores the critical...

  
• 03.10.2023

  Data Investing and the MAD with Matt Turck

  There are many types of early stage funding available from friends and family to seed to series A.  Some firms invest across a wide set of technologies and seek only to provide capital. Others are in it for the long...

  
• 02.24.2023

  Surviving ChatGPT with Christian Hubicki

  ChatGPT is an artificial intelligence language model developed by OpenAI. It is part of the GPT (Generative Pre-trained Transformer) family of models, which are designed to generate human-like text based on input prompts. ChatGPT is specifically trained to carry out...

  
• 10.01.2022

  Edge Impulse with Daniel Situnayake

  Today, we spoke with Daniel Situnayake of Edge Impulse. We discussed AI, machine learning, edge devices, TinyML and AI tool chain.             Sponsorship inquiries: [email protected]

  
• 09.23.2022

  Automatic Database Tuning with Andy Pavlo

  The default configuration in most databases is meant for broad compatibility rather than performance. Database tuning is a process in which the configurations of a database are modified to achieve optimal performance. Databases have hundreds of configuration knobs that control...

  
• 09.18.2022

  Practical Machine Learning in JavaScript with Charlie Gerard

  Originally published on January 1, 2022. Charlie Gerard is an incredibly productive developer.  In addition to being the author of Practical Machine Learning in JavaScript, her website charliegerard.dev has a long list of really interesting side projects exploring the intersection...

  
• 03.23.2022

  Union.ai with Ketan Umare

  At Lyft, Ketan Umare worked on Flyte, an orchestration system for machine learning. Flyte provides reliability and APIs for machine learning workflows, and is used at companies outside of Lyft such as Spotify. Since leaving Lyft, Ketan founded Union.ai, a...

  
• 01.25.2022

  Ad-free Search on Neeva with Darin Fisher

  Historically, search engines made money by showing sponsored ads alongside organic results. As the idiom goes, if you’re not paying for something, you are the product. Neeva is a new take on search engines. When you search at neeva.com, you...

  
• 01.04.2022

  Practical Machine Learning in JavaScript with Charlie Gerard

  Charlie Gerard is an incredibly productive developer.  In addition to being the author of Practical Machine Learning in JavaScript, her website charliegerard.dev has a long list of really interesting side projects exploring the intersection of human computer interaction, computer vision,...

  
• 11.30.2021

  Responsibly Deploy AI in Production with Anupam Datta

  Once a machine learning model is trained and validated, it often feels like a major milestone has been achieved.  In reality, it’s more like the first lap in a relay race.  Deploying ML to production bears many similarities to a...

  
• 11.10.2021

  #FREEZUCK | ?masked…?… !(DOCTORS)!!

  Software Engineering Daily invites Owen Frank Davis, Paul Davis, Kyle Davis, and Robbie Davis for a joint interview on the subject of reproduction and teething, as well as Lisch fascitis. Aledade and Kubernetes are both inconsiderate ideas for navigation. They...

  
• 11.09.2021

  Learning Tensorflow.js with Gant Laborde

  Machine learning models must first be trained.  That training results in a model which must be serialized or packaged up in some way as a deployment artifact.  A popular deployment path is using Tensorflow.js to take advantage of the portability...

  
• 10.22.2021

  No Code AI for Video Analytics with Alex Thiele

  Imagine a world where you own some sort of building whether that’s a grocery store, a restaurant, a factory… and you want to know how many people reside in each section of the store, or maybe how long did the...

  
• 09.22.2021

  Virtual Agents for IT and HR with Dan Turchin

  The dream of machines with artificial general intelligence is entirely plausible in the future, yet well beyond the reach of today’s cutting edge technology.  However, a virtual agent need not win in Alan Turing’s Imitation Game to be useful.  Modern...

  
• 09.20.2021

  Autonomous Driving Infrastructure with Vinoj Kumar

  Interest in autonomous vehicles dates back to the 1920s. It wasn’t until the 1980s that the first truly autonomous vehicle prototypes began to appear. The first DARPA Grand Challenge took place in 2004 offering competitors $1 million dollars to complete...

  
• 07.20.2021

  Sust Global: Taking Action Against Climate Change with Josh Gilbert

  Governments, consumers, and companies across the world are becoming more aware and attentive to the risks and causes of climate change. From recycling to using solar power, people are looking for ways to reduce their carbon footprint. Markets like the...

  
• 06.04.2021

  Machine Learning: The Great Stagnation with Mark Saroufim

  Mark Saroufim is the author of an article entitled “Machine Learning: The Great Stagnation”. Mark is a PyTorch Partner Engineer with Facebook AI. He has spent his entire career developing machine learning and artificial intelligence products. Before joining Facebook to...

  
• 05.27.2021

  Data Management Systems and Artificial Intelligence with Arun Kumar

  Arun Kumar is an Assistant Professor in the Department of Computer Science and Engineering and the Halicioglu Data Science Institute at the University of California, San Diego. His primary research interests are in data management and systems for machine learning/artificial...

  
• 05.20.2021

  BaseTen: Creating Machine Learning APIs with Tuhin Srivastava and Amir Haghighat

  Application Programming Interfaces (APIs) are interfaces that enable multiple software applications to send and retrieve data from one another. They are commonly used for retrieving, saving, editing, or deleting data from databases, transmitting data between apps, and embedding third-party services...

  
• 05.07.2021

  Botpress: Natural Language Processing with Sylvain Perron

  Natural Language Processing (NLP) is a branch of artificial intelligence concerned with giving computers the ability to understand text and spoken words. “Understanding” includes intent, sentiment, and what’s important in the message. NLP powers things like voice-operated software, digital assistants,...

  
• 04.06.2021

  MindsDB: Automated Machine Learning with Jorge Torres

  Using artificial intelligence and machine learning in a product or database is traditionally difficult because it involves a lot of manual setup, specialized training, and a clear understanding of the various ML models and algorithms. You need to develop the...

  
• 03.30.2021

  Creation Labs: Self Driving Trucks with Jakub Langr

  Creation Labs is helping bring Europe 1 step closer to fully autonomous long haul trucking. They have developed an AI Driver Assistance System (AIDAS) that retrofits to any commercial vehicle, starting with VW Crafters and MAN TGE trucks. Their system...

  
• 03.15.2021

  Pinecone: Vector Database with Edo Liberty

  Vectors are the foundational mathematical building blocks of Machine Learning. Machine Learning models must transform input data into vectors to perform their operations, creating what is known as a vector embedding. Since data is not stored in vector form, an...

  
• 02.09.2021

  OctoML: Automated Deep Learning Engineering with Jason Knight and Luis Ceze

  The incredible advances in machine learning research in recent years often take time to propagate out into usage in the field. One reason for this is that such “state-of-the-art” results for machine learning performance rely on the use of handwritten,...

  
• 01.29.2021

  iRobot with Chris Svec

  Embedded Software Engineering is the practice of building software that controls embedded systems- that is, machines or devices other than standard computers. Embedded systems appear in a variety of applications, from small microcontrollers, to consumer electronics, to large-scale machines such...

  
• 01.27.2021

  Reinforcement Learning and Robotics with Nathan Lambert

  Reinforcement learning is a paradigm in machine learning that uses incentives- or “reinforcement”- to drive learning. The learner is conceptualized as an intelligent agent working within a system of rewards and penalties in order to solve a novel problem. The...

  
• 01.21.2021

  Machine Learning Carbon Capture with Diego Saez-Gil

  Companies can have a negative impact on the environment by outputting excess carbon. Many companies want to reduce their net carbon impact to zero, which can be done by investing in forests. Pachama is a marketplace for forest investments. Pachama...

  
• 01.11.2021

  TensorFlow Lite with Pete Warden

  TensorFlow Lite is an open source deep learning framework for on-device inference. TensorFlow Lite was designed to improve the viability of machine learning applications on phones, sensors, and other IoT devices. Pete Warden works on TensorFlow Lite at Google and...

  
• 01.05.2021

  WebAssembly on IoT with Jonathan Beri (Repeat)

  Originally published July 30, 2019 “Internet of Things” is a term used to describe the increasing connectivity and intelligence of physical objects within our lives.  IoT has manifested within enterprises under the term “Industrial IoT,” as wireless connectivity and machine...

  
• 12.28.2020

  Drishti: Deep Learning for Manufacturing with Krish Chaudhury (Repeat)

  Originally published April 17, 2019 Drishti is a company focused on improving manufacturing workflows using computer vision. A manufacturing environment consists of assembly lines. A line is composed of sequential stations along that manufacturing line. At each station on the...

  
• 12.22.2020

  Niantic Real World with Paul Franceus (Repeat)

  Originally published June 21, 2019 Niantic is the company behind Pokemon Go, an augmented reality game where users walk around in the real world and catch Pokemon which appear on their screen. The idea for augmented reality has existed for...

  
• 12.17.2020

  Practical AI with Chris Benson (Repeat)

  Originally published December 9, 2019 Machine learning algorithms have existed for decades. But in the last ten years, several advancements in software and hardware have caused dramatic growth in the viability of applications based on machine learning. Smartphones generate large...

  
• 12.15.2020

  Kubeflow: TensorFlow on Kubernetes with David Aronchick (Repeat)

  Originally published January 25, 2019 When TensorFlow came out of Google, the machine learning community converged around it. TensorFlow is a framework for building machine learning models, but the lifecycle of a machine learning model has a scope that is...

  
• 12.09.2020

  Hedge Fund Artificial Intelligence with Xander Dunn (Repeat)

  Originally published April 3, 2017 A hedge fund is a collection of investors that make bets on the future. The “hedge” refers to the fact that the investors often try to diversify their strategies so that the direction of their...

  
• 11.30.2020

  Rosebud: Artificially Generated Media with Dzmitry Pletnikau

  For several years, we have had the ability to create artificially generated text articles. More recently, audio and video synthesis have been feasible for artificial intelligence. Rosebud is a company that creates animated virtual characters that can speak. Users can...